YOLOLite
Use the YOLOlite model family through our Serverless Hosted API
Available variants
Family
Variants
Code sample
pip install inference-sdk supervisionimport os
import urllib.request
import cv2
import supervision as sv
from inference_sdk import InferenceHTTPClient
image_url = "https://storage.googleapis.com/com-roboflow-marketing/notebooks/examples/cars-highway.png"
image_path = "cars-highway.png"
urllib.request.urlretrieve(image_url, image_path)
image = cv2.imread(image_path)
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key=os.getenv("API_KEY"),
)
results = client.infer(image, model_id="your-project/1")
detections = sv.Detections.from_inference(results)
box_annotator = sv.BoxAnnotator()
label_annotator = sv.LabelAnnotator()
annotated = box_annotator.annotate(scene=image.copy(), detections=detections)
annotated = label_annotator.annotate(scene=annotated, detections=detections)
cv2.imwrite("annotated.png", annotated)Last updated
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